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Spatiotemporal patterns of genetic variation for growth and fertility in Scots pine

Kroon, Johan (2011). Spatiotemporal patterns of genetic variation for growth and fertility in Scots pine. Diss. (sammanfattning/summary) Umeå : Sveriges lantbruksuniv., Acta Universitatis agriculturae Sueciae, 1652-6880 ; 2011:52
ISBN 978-91-576-7596-5
[Doctoral thesis]

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Abstract

Genetic testing plays an important role in tree breeding. Understanding basic genetic parameters for growth and fertility is a prerequisite for developing a successful breeding strategy to balance between short- and long-term gains. It is both impractical and inefficient to wait until trials are several decades old to make selection decisions. It is therefore of great value to evaluate a sample of long-term experiments to confirm selection efficiency at ages closer to rotation time. This thesis investigates the genetic expression of field performance in Scots pine (Pinus sylvestris L.) for growth and fertility in long-term experiments over time and across sites.

The data revealed large variation in genetic expression over time and across sites. The additive effect was the most important source of genetic variation for growth, while estimates of dominance were small, site-specific, and decreased much with age. Thus, there is little benefit in attempting to explore dominance through specific combining ability to improve genetic productivity in northern Sweden.

Progeny of plus-trees selected in northern Sweden showed faster growth compared to unimproved controls at age 30, as well as genetic differences in stem shape, such that improved trees were more slender. The genetic relationship between height and diameter in northern Sweden demonstrated the importance of considering diameter in selection to obtain greater genetic gain in volume.

Overall, the results show higher heritability at older ages and genetic correlations that reveal important rank changes with time and across environments.

Clonal variation in female fertility in mature seed orchards is rather small and varies as much within clones as among clones, and is heavily dependent on year of assessment. The prospects for early selection of clones for future seed cone production based on a single-year observation are low.

Finally, this thesis illustrates the importance of subjecting data from long-term field tests to a multi-trait, multi-site analysis accounting for environmental effects.

Authors/Creators:Kroon, Johan
Title:Spatiotemporal patterns of genetic variation for growth and fertility in Scots pine
Series/Journal:Acta Universitatis agriculturae Sueciae (1652-6880)
Year of publishing :5 May 2011
Volume:2011:52
Number of Pages:59
Papers/manuscripts:
NumberReferences
IAndersson, B., Elfving, B., Persson, T., Ericsson, T., & Kroon, J. (2007) Characteristics and development of improved Pinus sylvestris in northern Sweden. Canadian Journal of Forest Research, 37, 84-92.
IIKroon, J., Andersson, B. & Mullin T.J. (2008) Genetic variation in the diameter–height relationship in Scots pine (Pinus sylvestris). Canadian Journal of Forest Research, 38, 1493–1503.
IIIKroon, J., Ericsson, T., Persson, T. & Andersson, B. Additive and nonadditive genetic variation in height of Pinus sylvestris changes with age. (Manuscript).
IVKroon, J., Ericsson, T., Jansson, G. & Andersson, B. Patterns of genetic parameters for height in field genetic tests of Picea abies and Pinus sylvestris in Sweden. Tree Genetics and Genomes (Accepted).
VPrescher, F., Lindgren, D., Almqvist, C., Kroon, J., Lestander, T.A. & Mullin, T.J. (2007) Female fertility variation in mature Pinus sylvestris clonal seed orchards. Scandinavian Journal of Forest Research, 22, 280-289.
VIKroon, J., Wennström U., Prescher, F., Lindgren, D. & Mullin, T.J. (2009) Estimation of clonal variation in seed cone production over time in a Scots pine (Pinus sylvestris L.) seed orchard. Silvae Genetica, 58, 53-62.
Place of Publication:Umeå
Publisher:Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences
ISBN for printed version:978-91-576-7596-5
ISSN:1652-6880
Language:English
Publication Type:Doctoral thesis
Full Text Status:Public
Agris subject categories.:?? A50 ??
F Plant production > F30 Plant genetics and breeding
K Forestry > K10 Forestry production
X Agricola extesions > X30 Life sciences
Subjects:Obsolete subject words > FORESTRY, AGRICULTURAL SCIENCES and LANDSCAPE PLANNING
Obsolete subject words > FORESTRY, AGRICULTURAL SCIENCES and LANDSCAPE PLANNING > Plant production
(A) Swedish standard research categories 2011 > 1 Natural sciences > 102 Computer and Information Science > 10203 Bioinformatics (Computational Biology) (applications to be 10610)
(A) Swedish standard research categories 2011 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Genetics (medical genetics to be 30107 and agricultural genetics to be 40402)
(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Forest Science
(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 404 Agricultural Biotechnology > Genetics and Breeding
Agrovoc terms:pinus sylvestris, genetic variation, gene expression, plus trees, phenotypes, progeny, growth
Keywords:early testing, breeding stock, trait expression, age-age correlation, G-matrix, longitudinal data, best linear unbiased prediction, multi-environment trials, spatial analysis, competition, seed orchard clones
URN:NBN:urn:nbn:se:slu:epsilon-e-82
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-82
ID Code:8118
Department:(S) > Dept. of Forest Genetics and Plant Physiology
External funders:Knowledge Foundation
Deposited By: Herr Johan Kroon
Deposited On:05 May 2011 12:57
Metadata Last Modified:02 Dec 2014 10:46

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